DOCSLIB.ORG

Assessing Impacts of Climate Change and Human Activities on the Abnormal Correlation Between Actual Evaporation and Atmospheric

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Assessing Impacts of Climate Change and Human Activities on the Abnormal Correlation Between Actual Evaporation and Atmospheric Sustainable Cities and Society 56 (2020) 102075 Contents lists available at ScienceDirect Sustainable Cities and Society journal homepage: www.elsevier.com/locate/scs Assessing impacts of climate change and human activities on the abnormal correlation between actual evaporation and atmospheric evaporation T demands in southeastern China Hua Baia,b,c, Xianghui Lub, Xiaoxiao Yangd, Jianchu Huangd, Xingmin Mua,c,*, Guangju Zhaoa,c, Faliang Guib, Chao Yuea,c a Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China b Jiangxi Key Laboratory of Hydrology-Water Resources and Water Environment, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China c University of Chinese Academy of Sciences, Beijing 100049, China d Jiangxi Provincial Bureau of Hydrology, Nanchang, Jiangxi 330002, China ARTICLE INFO ABSTRACT Keywords: Generally, atmospheric evaporation demand (AED) shows a positive correlation with actual evaporation (AE)in Climate change the Yangtze River basin. In order to explore whether and why abnormal correlation exits in its five sub-basins, Afforestation the temporal changes between AED and AE were compared, and then the impacts of climate change and human Penman equation activities on abnormal correlations were assessed using the sensitivity method of Penman equation and the Budyko-type equation decomposition method of Budyko equation. The results indicated: (1) Pan evaporation and potential evaporation Water-energy balance − − (indicators of AED) decreased at rates of up to -0.04 and -0.06 mm d 1 decade 1, respectively. In contrast, the Complementary relationship of evaporation − − water budget-derived evaporation (an indicator of AE) increased at the rate of 0.09 mm d 1 decade 1 in the Fuhe River basin and remained stable in other basins. Abnormal correlations (nonpositive correlations) were observed. (2) Decreasing net radiation and wind speed were major climate factors resulting in simultaneous temporal decreases in AED and AE. In contrast, afforestation was a major human factor leading to an increase in annual AE of 78 mm, but had no effect on AED.Afforestation was the primary driving force of the abnormal correlation. These results could provide water-energy guidance for urban climate change mitigation and flood/ drought disaster management. 1. Introduction correlation (AC) indicates the existence of a regional water-energy balance transformation. Identifying its driving force will be beneficial The mechanism of the water-energy balance transformation is a for understanding the response mechanism of how the water-energy basic, crucially investigated issue in urban hydrology in response to a balance transforms in response to a changing environment. Such an changing environment that is mainly dominated by rapid urbanization, understanding can also specify the variation in the boundary conditions ecological restoration, and climate change (Remondi, Burlando, & in order to predict urban water-energy processes (Ali, Shafiee, & Vollmer, 2016). Characterization of the controlling factors and their Berglund, 2017), which can then be applied to address the urban heat linkages with other environmental elements to form a full picture of the island effect (Giridharan & Emmanuel, 2018; Roberge & Sushama, water-energy cycle has provided a more complete description of the 2018), greenhouse gas emissions (Hardin et al., 2017), drought (Gober, response mechanisms involved (Brutsaert & Parlange, 1998; Yang et al., Sampson, Quay, White, & Chow, 2016), and flood disasters (Nachshon, 2007). Evaporation is the controlling environmental factor because it Netzer, & Livshitz, 2016) in a changing environment. connects the water and energy cycles (Milly, 1994; Wolock & McCabe, Water budget-derived evaporation (WBDE) using the surface water 1999; Yang et al., 2007). The correlation between atmospheric eva- balance method is the proper basin-wide AE index, while potential poration demand (AED) and actual evaporation (AE) quantifies the evaporation (ETp) and pan evaporation (Epan) are the appropriate in- regional water-energy balance. The appearance of an abnormal dicators of AED. Current observational and estimation methods of AE ⁎ Corresponding author at: State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, 26 Xinong Road, Yangling, 712100, Shaanxi Province, China. E-mail address: [email protected] (X. Mu). https://doi.org/10.1016/j.scs.2020.102075 Received 30 January 2019; Received in revised form 2 September 2019; Accepted 26 January 2020 Available online 31 January 2020 2210-6707/ © 2020 Elsevier Ltd. All rights reserved. H. Bai, et al. Sustainable Cities and Society 56 (2020) 102075 mainly include the lysimeter, eddy covariance, Bowen ratio (Wang & complementary relationship (BCR) between AED and AE, denoted by Dickinson, 2012; World Meteorological Organization (WMO) (2014)), their negative correlation, has been observed in parts of typically en- scintillometer, surface water balance, and atmospheric water balance ergy-limited regions (Wang et al., 2011), especially in the regions methods (Wang & Dickinson, 2012). These methods have different covered with dense forest (Carmona, Poveda, Sivapalan, Vallejo-Bernal, spatial scales. Only the surface and atmospheric water balance methods & Bustamante, 2016; Lawrimore & Peterson, 2000) and urban areas are suitable for the basin scale (up to thousands of kilometres), while (Nakamichi & Moroizumi, 2015). In these regions, the expected positive other methods are applicable for scales below hundreds of meters correlation between AE and AED for the entire energy-limited region (DeBruin, 2009; Moene, Beyrich, & Hartogensis, 2009; Solignac et al., was transformed into a negative relationship. Potential driving forces of 2009; Wang & Dickinson, 2012). However, substantial errors have been this abnormal correlation (AC) were climate change or human activities found in estimates made by the atmospheric water balance method (Arora, 2002). For instance, the aridification of parts of an energy- (Roads, 2003; Wang & Dickinson, 2012). Therefore, the surface water limited region could increase CAI more than the threshold CAI value of balance method is the appropriate method for directly obtaining AE at a water-limited region, thus leading to the AC (Zhang et al., 2012; the basin scale. AED is estimated by reference evapotranspiration (ETr) McVicar, Roderick, Donohue, Niel et al., 2012). Human activities (e.g., or ETp and is measured by Epan. But these two measures are intended for ecological restoration, rapid urbanization) could increase water and different applications. ETr has been applied for irrigation scheduling energy consumption (Hong et al., 2019; Wang, Feng, Zuo, & using prescribed crop coefficients (Allen, Pereira, Raes, & Smith, 1998). Rameezdeen, 2019) to alter the water-energy balance, and eventually In contrast, Epan and ETp are used for estimating open water evaporation change the positive correlation. Therefore, further investigations are (Fu, Liu, Chen, & Hong, 2004; Fu, Charles, & Yu, 2009; Penman, 1948), needed to determine which variable is driving this abnormal correlation as well as for estimating basin-wide AE according to hypotheses re- between AE and AED: climate change or human activities? This paper garding relationships with AE (Bouchet, 1963; Budyko, 1974; Penman, focuses on river basins in an energy-limited region of southeast China. 1948; Sun, 2007; Yang, Sun, Liu, Cong, & Lei, 2006). Accordingly, Epan These basins have experienced strong afforestation and urbanization in and ETp are the suitable indicators for estimating basin-wide AE. last 30 years compared with adjacent basins. The objective of this study The Bouchet's complementary hypothesis (BCH) and the Penman was to identify the appearance of AC and to determine whether climate hypothesis (PH) are proposed to describe the correlation between AE change, urbanization, or afforestation is the primary driving force of and AED in arid and humid regions, respectively. Specifically, in arid AC. and humid regions, also known as water-limited and energy-limited regions, evaporation is limited by available water and energy, respec- 2. Study areas tively. An intermediate region is limited by both available water and energy. These regions are distinguished by different climatological ar- The Poyang Lake basin is a typical energy-limited region with idity index (CAI) values, defined as the ratio of mean annual ETp to CAI≤0.76. It is a sub-basin of the Yangtze River basin. It was selected precipitation (P). Water-limited and energy-limited regions are defined as the study area to identify and interpret AC. Five tributaries of the with CAI≥1.35 and CAI≤0.76, respectively, while an intermediate Poyang Lake basin were selected, including the Ganjiang, Fuhe, region is characterized by 0.76 < CAI < 1.35 (McVicar, Roderick, Xinjiang, Raohe, and Xiushui Rivers (Fig. 1). These tributaries flow Donohue, & Niel, 2012; Zhang et al., 2012). In energy-limited regions, through southeastern China, with the drainage areas ranging from AED is generally positively correlated with AE according to PH 5,013 to 80,948 km2 and the annual runoff coefficients ranging from (Penman, 1948; Yang et al., 2006). In contrast, in water-limited regions, 0.44 to 0.64 (Table 1). AED is negatively correlated with AE according to BCH (Bouchet, 1963; Zuo et al., 2016). In intermediate regions, the correlation between AE 3. Datasets and methods and AED tends
Load more

Recommended publications
  • Responses of Water Level in China's Largest Freshwater Lake to the Meteorological Drought Index (SPEI) in the Past Five Decades
    water Article Responses of Water Level in China’s Largest Freshwater Lake to the Meteorological Drought Index (SPEI) in the Past Five Decades Ruonan Wang 1,2, Wenqi Peng 1, Xiaobo Liu 1,*, Wenqiang Wu 1, Xuekai Chen 1 and Shijie Zhang 1 1 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China; [email protected] (R.W.); [email protected] (W.P.); [email protected] (W.W.); [email protected] (X.C.); [email protected] (S.Z.) 2 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China * Correspondence: [email protected]; Tel.: +86-010-6878-1897 Received: 22 December 2017; Accepted: 25 January 2018; Published: 1 February 2018 Abstract: Poyang Lake, which is the largest freshwater lake in China, is an important regional water resource and iconic ecosystem that has experienced a period of continuous low water level in recent years. In this paper, the Standardized Precipitation Evapotranspiration Index (SPEI) was applied to analyze the temporal variability and spatial distribution characteristics of meteorological drought over the Poyang Lake Basin during 1961–2015. In addition, correlation analysis was used to investigate the response relationship between lake level and meteorological drought in the basin. The main results showed that: (1) The decline of water level in Poyang Lake since 2000 has been dramatic, especially in autumn, when the downward speed reached 11.26 cm/day. (2) The meteorological drought in the Poyang Lake Basin has obvious seasonal characteristics, and drying tendencies in spring and autumn were relatively obvious.
    [Show full text]
  • Dis00277.Pdf
    Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский Томский политехнический университет» На правах рукописи Гусева Наталья Владимировна МЕХАНИЗМЫ ФОРМИРОВАНИЯ ХИМИЧЕСКОГО СОСТАВА ПРИРОДНЫХ ВОД В РАЗЛИЧНЫХ ЛАНДШАФТНО-КЛИМАТИЧЕСКИХ ЗОНАХ ГОРНО-СКЛАДЧАТЫХ ОБЛАСТЕЙ ЦЕНТРАЛЬНОЙ ЕВРАЗИИ Специальность 25.00.07 – Гидрогеология Диссертация на соискание ученой степени доктора геолого-минералогических наук Томск – 2018 2 ОГЛАВЛЕНИЕ ВВЕДЕНИЕ ............................................................................................................................................ 4 ГЛАВА 1. ПОСТАНОВКА ФУНДАМЕНТАЛЬНОЙ ПРОБЛЕМЫ ........................................ 10 ГЛАВА 2. МЕТОДИКА ИССЛЕДОВАНИЙ ................................................................................. 18 ГЛАВА 3. МЕХАНИЗМЫ ФОРМИРОВАНИЯ ХИМИЧЕСКОГО СОСТАВА ПРИРОДНЫХ ВОД РАЙОНОВ С ГУМИДНЫМ КЛИМАТОМ ............................................. 25 3.1 ГЕОХИМИЯ ПРИРОДНЫХ ВОД ВОДОСБОРНОЙ ТЕРРИТОРИИ ОЗЕРА ПОЯНХУ, КИТАЙ ................... 25 3.1.1 Природные условия района исследований ......................................................................... 25 3.1.2 Химический состав природных вод ................................................................................... 34 3.1.3 Равновесие природных вод с горными породами и геохимические типы вод ............... 56 3.2 ГЕОХИМИЯ ПРИРОДНЫХ ВОД ВОСТОЧНОГО СКЛОНА ПОЛЯРНОГО УРАЛА ................................... 62 3.2.1 Природные условия района исследований
    [Show full text]
  • Jiangxi Biologic Energy Forest Demonstration Base Environmental
    Jiangxi Biologic Energy Forest Demonstration Base Construction Project Funded by European Investment Bank Environmental and Social Impact Assessment Report Evaluation Unit: Jiangxi Academy of Agricultural Science Jiangxi Agricultural University Collaboration: Jiangxi Forestry Department City and County Forestry Bureaus 1 CONTENTS 1 BACKGROUND INTRODUCTION OF THE PROJECT ······················································1 1.1 Project background·························································································1 1.1.1 Background of the project emergence··················································1 1.1.2 Project sources·····················································································1 1.1.3 Significance of the project construction···············································1 1.2 Purposes of the preparation of the report························································1 1.3 Brief introduction of the environmental impact assessment ···························2 1.3.1 Significance of the project ···································································2 1.3.2 Structure of the report··········································································3 1.4 Bases of the evaluation···················································································4 1.4.1 Relevant state laws and regulations ·····················································4 1.4.2 Requirements of World Bank ······························································6 1.4.3 Specifications
    [Show full text]
  • Investigation of the Complexity of Streamflow Fluctuations in a Large Heterogeneous Lake Catchment in China
    Theor Appl Climatol DOI 10.1007/s00704-017-2126-5 ORIGINAL PAPER Investigation of the complexity of streamflow fluctuations in a large heterogeneous lake catchment in China Xuchun Ye1,2,3 & Chong-Yu Xu1,2 & Xianghu Li3 & Qi Zhang3 Received: 13 December 2016 /Accepted: 7 April 2017 # Springer-Verlag Wien 2017 Abstract The occurrence of flood and drought frequency is as the Hurst exponent and fitted parameters a and b from the highly correlated with the temporal fluctuations of streamflow q-order Hurst exponent h(q). However, the relationship be- series; understanding of these fluctuations is essential for the tween the width of the singularity spectrum (Δα)andwater- improved modeling and statistical prediction of extreme shed area is not clear. Further investigation revealed that in- changes in river basins. In this study, the complexity of daily creasing forest coverage and reservoir storage can effectively streamflow fluctuations was investigated by using multifractal enhance the persistence of daily streamflow, decrease the hy- detrended fluctuation analysis (MF-DFA) in a large heteroge- drological complexity of large fluctuations, and increase the neous lake basin, the Poyang Lake basin in China, and the small fluctuations. potential impacts of human activities were also explored. Major results indicate that the multifractality of streamflow fluctuations shows significant regional characteristics. In the 1 Introduction study catchment, all the daily streamflow series present a strong long-range correlation with Hurst exponents bigger River flow series represents a valuable historical record that than 0.8. The q-order Hurst exponent h(q)ofallthe carries lots of mechanism information about the hydrological hydrostations can be characterized well by only two parame- cycle.
    [Show full text]
  • Changes in Ecosystem Service Value in the 1 Km Lakeshore Zone of Poyang Lake from 1980 to 2020
    land Article Changes in Ecosystem Service Value in the 1 km Lakeshore Zone of Poyang Lake from 1980 to 2020 Xinchen Gu 1,2,† , Aihua Long 2,3,*,†, Guihua Liu 4,† , Jiawen Yu 2,3,†, Hao Wang 1,2, Yongmin Yang 2 and Pei Zhang 2 1 State Key Laboratory of Hydraulic Engineering Simulation and Safety, School of Civil Engineering, Tianjin University, Tianjin 300072, China; [email protected] (X.G.); [email protected] (H.W.) 2 State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100044, China; [email protected] (J.Y.); [email protected] (Y.Y.); [email protected] (P.Z.) 3 Xinjiang Production and Construction Group Key Laboratory of Modern Water-Saving Irrigation, College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China 4 School of Geography and Environment, Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, China; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work and should be considered co-first authors. Abstract: Poyang Lake is a typical lake in the middle and lower reaches of the Yangtze River and is the largest freshwater lake in China. The habitat quality of Poyang Lake has been declining in recent years, leading to a series of ecological problems. An ecological risk evaluation, based on land use, is important in order to promote a coordinated development of land use and the ecological environment.
    [Show full text]
  • Spatial-Temporal Variability of the Fluctuation of Water Level in Poyang
    Open Geosci. 2018; 10:940–953 Research Article Open Access Lixin Ning, Yunkai Zhou, Jing Yang, Changxiu Cheng*, Changqing Song, and Shi Shen Spatial-temporal variability of the fluctuation of water level in Poyang Lake basin, China https://doi.org/10.1515/geo-2018-0075 Received June 18, 2018; accepted September 27, 2018 1 Introduction Abstract: Poyang Lake basin is one of the most biodiver- Basins, the basic unit of the earth’s surface, are relatively sity areas in China. Fluctuation of water level is an im- independent and integrated natural geographic part that portant factor of hydrological process which is a guaran- are composed of the water system and the land resources tee of ecosystem health and biodiversity conservation. To in a special region [1, 2]. As a critical zone of intense in- measure its spatial-temporal variation, classical statisti- teraction between various circle layers of the earth [3–5], cal methods and permutation entropy were employed: 1) there exist numerous of energy flow and material circu- Variation of water level downstream of Poyang Lake dur- lation in basins, especially the downstream of low eleva- ing one year follows a periodical pattern, while it is ran- tion, due to the intense interaction within internal ele- dom in upper reaches. That is, the range of water level ments [6]. Meanwhile, basins provide many necessary re- in upper reaches is much less than that in downstream. sources for human living and production; especially, the 2) Fluctuation of water level in winter and spring is more downstream area of low elevation is of great significance complicated, more irregular and more random than that in for human living as the main accumulation area of hu- other seasons.
    [Show full text]
  • Heavy Metal Concentrations and Risk Assessment of Sediments and Surface Water of the Gan River, China
    Pol. J. Environ. Stud. Vol. 25, No. 4 (2016), 1529-1540 DOI: 10.15244/pjoes/62100 Original Research Heavy Metal Concentrations and Risk Assessment of Sediments and Surface Water of the Gan River, China Zhang Hua1, 2, Jiang Yinghui2, Yang Tao1, 2, Wang Min2, Shi Guangxun2, Ding Mingjun1, 2,* 1Key Lab of Poyang Lake Wetland and Watershed Research, Ministry of Education (Jiangxi Normal University), Jiangxi Nanchang, 330022, China 2School of Geography and Environment, Jiangxi Normal University, No. 99, Ziyang Road, Jiangxi Nanchang 330022, China Received: 15 January 2016 Accepted: 7 March 2016 Abstract To investigate the contamination levels of heavy metals, surface water and sediment samples were col- lected from 21 sites along the Gan River. The heavy metal concentrations (V, Co, Cr, Ni, Cu, Zn, Cd, and Pb) were determined using inductively coupled plasma spectrometry (ICP-MS). The results demonstrated that the status of the surface water and sediments as a whole were relatively clean with regard to heavy metals (except for Cd) compared to water quality standards and sediment quality guidelines. The two heavy metal sources of the surface water and sediments were identified separately using factor analysis (FA). High levels of metals were found in the sediment in the upstream and downstream due to frequent mining and industrial activities, whereas concentrations of heavy metal in the surface water from two sources were abundant in the upstream and midstream – likely related to mining activities and sediment suspension. As indicated by enrichment factor (EF) and potential ecological risk index (PERI), Zn, Pb, and Cd were the most anthropo- genically enriched metals, while sediments in the upstream and downstream had high potential ecological risk.
    [Show full text]
  • Temporal Dynamics and Spatial Distribution of Water Pollution Footprint in Jiangxi Province from 2004 to 2015
    Advances in Engineering Research, volume 120 International Forum on Energy, Environment Science and Materials (IFEESM 2017) Temporal Dynamics and Spatial Distribution of Water Pollution Footprint in Jiangxi Province from 2004 to 2015 Qiugen Zhang 1,a, Yuqiong Huang1,b, Shifeng Wang 2,c, Suhua Chen 1,d 1 School of Environment and Chemistry Engineering, Nanchang Hangkong University, 330063, Nanchang, Jiangxi, PRC; 2 Environmental Engineering Assessment Center, Environmental Protection Department of Jiangxi Province, 330077, Nanchang, Jiangxi, PRC [email protected], [email protected], [email protected], [email protected] Keywords: Pollution Footprint; Water Pollutant; Water Pollution Capacity; Temporal Dynamics; Spatial Distribution; Jiangxi Province. Abstract. Based on the connotation of pollution footprint and the index model of water pollution which guided by ecological footprint theory, the water pollution footprint of Jiangxi province from 2004 to 2015 was calculated according to the survey of water pollutant emission statistics. Temporal dynamics and spatial distribution of water pollution footprint were analyzed. The results showed that the water pollution footprint of Jiangxi province was rose from 414797.83hm2 in 2004 to 2 548350.61hm in 2015. The pollution footprints of COD and NH3-N were separately increased form 233598.73hm2 and 181199.10hm2 in 2004 to 261799.91hm2 and 286550.69hm2 in 2015. The water pollution footprints of Ganzhou and Shangrao were relatively large while the water pollution footprint of Yingtan and Xinyu was relatively small in Jiangxi 11 cities. The water pollution capacities of Jiangxi province and 11 cities were showed a general upward trend during in 2004-2015. And the water pollution capacities of Jiujiang and Shangrao were relatively large while the water pollution carrying capacities of Pingxiang, Jingdezhen and Yingtan were relatively small.
    [Show full text]
  • Investment and Employment Opportunities
    INVESTMENT AND EMPLOYMENT OPPORTUNITIES IN CHINA Systems Evaluation, Prediction, and Decision-Making Series Series Editor Yi Lin, PhD Professor of Systems Science and Economics School of Economics and Management Nanjing University of Aeronautics and Astronautics Grey Game Theory and Its Applications in Economic Decision-Making Zhigeng Fang, Sifeng Liu, Hongxing Shi, and Yi Lin ISBN 978-1-4200-8739-0 Hybrid Rough Sets and Applications in Uncertain Decision-Making Lirong Jian, Sifeng Liu, and Yi Lin ISBN 978-1-4200-8748-2 Investment and Employment Opportunities in China Yi Lin and Tao Lixin ISBN 978-1-4822-5207-1 Irregularities and Prediction of Major Disasters Yi Lin ISBN: 978-1-4200-8745-1 Measurement Data Modeling and Parameter Estimation Zhengming Wang, Dongyun Yi, Xiaojun Duan, Jing Yao, and Defeng Gu ISBN 978-1-4398-5378-8 Optimization of Regional Industrial Structures and Applications Yaoguo Dang, Sifeng Liu, and Yuhong Wang ISBN 978-1-4200-8747-5 Systems Evaluation: Methods, Models, and Applications Sifeng Liu, Naiming Xie, Chaoqing Yuan, and Zhigeng Fang ISBN 978-1-4200-8846-5 Systemic Yoyos: Some Impacts of the Second Dimension Yi Lin ISBN 978-1-4200-8820-5 Theory and Approaches of Unascertained Group Decision-Making Jianjun Zhu ISBN 978-1-4200-8750-5 Theory of Science and Technology Transfer and Applications Sifeng Liu, Zhigeng Fang, Hongxing Shi, and Benhai Guo ISBN 978-1-4200-8741-3 INVESTMENT AND EMPLOYMENT OPPORTUNITIES IN CHINA Jeffrey Yi-Lin Forrest • Tao Lixin CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2015 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S.
    [Show full text]
  • Application of a Distributed Catchment Model to Investigate Hydrological Impacts of Climate Change Within Poyang Lake Catchment (China) Y
    120 © 2016 The Authors Hydrology Research | 47.S1 | 2016 Application of a distributed catchment model to investigate hydrological impacts of climate change within Poyang Lake catchment (China) Y. L. Li, H. Tao, J. Yao and Q. Zhang ABSTRACT The extreme cycles of flood and drought in the Poyang Lake catchment (China) place immense Y. L. Li H. Tao pressure on the region’s water users and ecosystems. This study examines potential impacts of J. Yao Q. Zhang (corresponding author) future climate change in the Poyang Lake catchment using the popular regional climate model, Key Laboratory of Watershed Geographic Sciences, – Nanjing Institute of Geography and Limnology, COSMO-CLM, and a distributed hydrological model, WATLAC. Near-future projections (2016 2035) Chinese Academy of Sciences, indicate that the mean annual precipitation and temperature are expected to increase over the 73 East Beijing Road, Nanjing 210008, catchment, with the exception of some northern regions. Relative to the baseline period China E-mail: [email protected] (1986–2005), the monthly mean precipitation is projected to increase in spring, summer and autumn Q. Zhang (March-October), and to decrease in winter (November-February), with the most significant changes Key Laboratory of Poyang Lake Wetland and À Watershed Research, Ministry of Education, in September (62%) and January ( 39%). Projected increases in monthly mean temperatures range Jiangxi Normal University, from 0.3 to 1.4 W C, 0.2 to 0.7 W C, and 0.2 to 1.2 W C for Representative Concentration Pathways (RCP) 99 Ziyang Road, Nanchang 330022, climate scenarios RCP2.6, 4.5 and 8.5, respectively.
    [Show full text]
  • Assessment of Total Suspended Sediment Concentrations in Poyang Lake Using HJ-1A/1B CCD Imagery
    See discussions, stats, and author profiles for this publication at: http://www.researchgate.net/publication/256130983 Assessment of total suspended sediment concentrations in Poyang Lake using HJ-1A/1B CCD imagery ARTICLE in CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY · MARCH 2012 Impact Factor: 0.68 · DOI: 10.1007/s00343-012-1094-y CITATIONS DOWNLOADS VIEWS 9 86 88 6 AUTHORS, INCLUDING: Xiaoling Chen Liqiao Tian Wuhan University Wuhan University 80 PUBLICATIONS 261 CITATIONS 25 PUBLICATIONS 102 CITATIONS SEE PROFILE SEE PROFILE Lian Feng Wuhan University 32 PUBLICATIONS 182 CITATIONS SEE PROFILE Available from: Lian Feng Retrieved on: 28 June 2015 Chinese Journal of Oceanology and Limnology Vol. 30 No. 2, P. 295-304, 2012 DOI: http://dx.doi.org/10.1007/s00343-012-1094-y Assessment of total suspended sediment concentrations in Poyang Lake using HJ-1A/1B CCD imagery* YU Zhifeng (ѢП䫟)1, 2, 4, CHEN Xiaoling (䰜ᰧ⦆)1, 3, **, ZHOU Bin (਼᭠)2, 4, TIAN Liqiao (⬄⼐Ш)1, **, YUAN Xiaohong (㹕ᇣ㑶)2, 4, FENG Lian (ރ⚐)1 1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China 2 Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China 3 Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China 4 Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China Received Apr. 3, 2011; accepted in principle Apr. 27, 2011; accepted for publication Jul. 26, 2011 © Chinese Society for Oceanology and Limnology, Science Press, and Springer-Verlag Berlin Heidelberg 2012 Abstract We explored the potential of the environment and disaster monitoring and forecasting small satellite constellations (HJ-1A/1B satellites) charge-coupled device (CCD) imagery (spatial resolution of 30 m, revisit time of 2 days) in the monitoring of total suspended sediment (TSS) concentrations in dynamic water bodies using Poyang Lake, the largest freshwater lake in China, as an example.
    [Show full text]
  • Study on the Nonuniform Spatial Distribution of Water Level in Poyang Lake Based on ASAR Images And
    Available online at www.sciencedirect.com Procedia Environmental Sciences 10 ( 2011 ) 2540 – 2546 2011 3rd International Conference on Environmental Science and InformationConference Application Title Technology (ESIAT 2011) Study on the Nonuniform Spatial Distribution of Water Level in Poyang Lake Based on ASAR Images and DEM FANG Chao-yang1, a, LAI Zheng-qing2, YANG Jing-yuan13, XU Ying3, a* 1. Key laboratory of Poyang Lake wetlands and watersheds research, ministry of education, Nanchang 330022, China; 2. School of Geographic, Nanjing Normal UniversityˈNanjing 210046,China; 3 School of Geographic and Environmental, Jiangxi Normal University, Nanchang 330022, China; [email protected] Abstract The Poyang Lake is the largest fresh water lake in china and also is the flood-prone belt. It’s very important to extract the water body information of the Poyang Lake from the remote sensing images and real time monitoring the dynamic change of the Poyang Lake with the technology of GIS. The spatial distribution of the water level of the Poyang Lake is nonuniform. We can’t get the water level information of the whole lake area. The ASAR images have advantages of all-weather, weather resistant, sensitive to the water, etc., it’s a good tool to extract the water information. The writer extracts the border line of the Poyang Lake through the ASAR images and combined with the high precision DEM data of the Poyang Lake area to get the water information of the border and reflect the spatial distribution of the water. This method is easy, quick and accurate, and could get the visualized graphicˈthe results could provide scientific evidences for the disaster prevention and mitigation, the regulation and usage of the reservoir and the production of fish, forestry, animal, husbandry and fishery, etc.
    [Show full text]